All case studies

Plaud.ai

AI research-to-article pipeline

An n8n pipeline that turns a topic in a spreadsheet into a researched, formatted SEO article draft in Google Docs.

Client
Plaud.ai
Delivered
January to July 2026
Built with
n8n, OpenAI, Anthropic Claude, Tavily, SerpApi, Jina Reader, Google Sheets, Google Docs

How it runs

  1. Topic added to a Google Sheet
  2. Audience research agent
  3. Questions people ask: Reddit, Google, YouTube
  4. Top sources read in full
  5. Outline built
  6. Article written by an AI agent
  7. Formatted Google Doc created
  8. Sheet updated with the result

Plaud.ai’s marketing team needed SEO articles produced on a repeatable schedule without doing the research by hand for each topic.

What we built

An automated pipeline in n8n. A new topic added to a Google Sheet starts the workflow. AI agents research the target audience and the questions people actually ask about the topic, using Reddit (via Tavily), Google search and YouTube (via SerpApi). The pipeline reads the most relevant sources in full, builds an outline, and an article-writing agent drafts the piece.

The draft is created and formatted as a Google Doc and logged back in the sheet, so the team reviews finished drafts instead of starting from a blank page. The workflow logic is documented so their team can maintain it.

Engagement

Delivered January to July 2026, including face-to-face working sessions in Shenzhen. Rated 5.0 out of 5 by the client.

Rated 5.0 out of 5 by the client.”
Nydia X., Plaud.ai 5.0 out of 5

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